肌软：一种使用机器学习算法的自动化肌肉组织学分析工具，利用 FIJI/ImageJ 软件。
Myosoft: An automated muscle histology analysis tool using machine learning algorithm utilizing FIJI/ImageJ software.
机构信息
Department of Cell Biology, School of Medicine, Emory University, Atlanta, Georgia, United States of America.
Undergraduate program in Neuroscience and Behavioral Biology, School of Medicine, Emory University, Atlanta, Georgia, United States of America.
出版信息
PLoS One. 2020 Mar 4;15(3):e0229041. doi: 10.1371/journal.pone.0229041. eCollection 2020.
METHODS
Muscle sections were stained for cell boundary (laminin) and myofiber type (myosin heavy chain isoforms). Myosoft, running in the open access software platform FIJI (ImageJ), was used to analyze myofiber size and type in transverse sections of entire gastrocnemius/soleus muscles.
RESULTS
Myosoft provides an accurate analysis of hundreds to thousands of muscle fibers within 25 minutes, which is >10-times faster than manual analysis. We demonstrate that Myosoft is capable of handling high-content images even when image or staining quality is suboptimal, which is a marked improvement over currently available and comparable programs.
CONCLUSIONS
Myosoft is a reliable, accurate, high-throughput, and convenient tool to analyze high-content muscle histology. Myosoft is freely available to download from Github at https://github.com/Hyojung-Choo/Myosoft/tree/Myosoft-hub.
方法
肌肉切片经细胞边界（层粘连蛋白）和肌纤维类型（肌球蛋白重链同工型）染色。Myosoft 运行在开放获取的软件平台 FIJI（ImageJ）上，用于分析整个比目鱼肌/跟腱肌肉横切面上的肌纤维大小和类型。
结果
Myosoft 能够在 25 分钟内对数百到数千条肌纤维进行精确分析，比手动分析快 10 多倍。我们证明，即使在图像或染色质量不理想的情况下，Myosoft 也能够处理高内涵图像，这比当前可用的和可比的程序有显著的改进。
结论
Myosoft 是一种可靠、准确、高通量和方便的分析高内涵肌肉组织学的工具。Myosoft 可从 Github 上免费下载，网址为 https://github.com/Hyojung-Choo/Myosoft/tree/Myosoft-hub。
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